Fei Tang

Title: Fei Tang: Innovator in Encrypted Traffic Classification

Introduction

Fei Tang is a notable inventor based in Guangdong, China. He has made significant contributions to the field of network security, particularly in the classification of encrypted traffic. His innovative approach utilizes machine learning to enhance the efficiency of traffic classification.

Latest Patents

Fei Tang holds a patent for a "System for classifying encrypted traffic based on data packet." This system includes a traffic capture module, a traffic analysis module, and a traffic classification module. It collects data packets from a network flow to construct a machine learning model, enabling the classification of encrypted traffic and the identification of normal and malicious traffic. The system focuses on various features, including basic spatial-temporal features, header features, load features, and statistical features. Additionally, it emphasizes the differences between versions of encryption protocols, particularly the transport layer security (TLS) protocol, to classify encrypted traffic more effectively. He has 1 patent to his name.

Career Highlights

Fei Tang is affiliated with Guangzhou University, where he continues to advance research in network security and machine learning applications. His work has garnered attention for its practical implications in enhancing cybersecurity measures.

Collaborations

Fei Tang has collaborated with notable colleagues, including Jing Qiu and Jie Ding, contributing to various research initiatives and projects in the field.

Conclusion

Fei Tang's innovative work in encrypted traffic classification showcases his commitment to improving network security through advanced technology. His contributions are vital in addressing the challenges posed by malicious traffic in today's digital landscape.